Removed files temporarily

python/samples/getting_started/agents/openai_assistants_client/openai_assistants_basic.py

@@ -1,65 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-import asyncio
-from random import randint
-from typing import Annotated
-
-from agent_framework import ChatClientAgent
-from agent_framework.openai import OpenAIAssistantsClient
-from pydantic import Field
-
-
-def get_weather(
-    location: Annotated[str, Field(description="The location to get the weather for.")],
-) -> str:
-    """Get the weather for a given location."""
-    conditions = ["sunny", "cloudy", "rainy", "stormy"]
-    return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
-
-
-async def non_streaming_example() -> None:
-    """Example of non-streaming response (get the complete result at once)."""
-    print("=== Non-streaming Response Example ===")
-
-    # Since no assistant ID is provided, the assistant will be automatically created
-    # and deleted after getting a response
-    async with ChatClientAgent(
-        chat_client=OpenAIAssistantsClient(),
-        instructions="You are a helpful weather agent.",
-        tools=get_weather,
-    ) as agent:
-        query = "What's the weather like in Seattle?"
-        print(f"User: {query}")
-        result = await agent.run(query)
-        print(f"Agent: {result}\n")
-
-
-async def streaming_example() -> None:
-    """Example of streaming response (get results as they are generated)."""
-    print("=== Streaming Response Example ===")
-
-    # Since no assistant ID is provided, the assistant will be automatically created
-    # and deleted after getting a response
-    async with ChatClientAgent(
-        chat_client=OpenAIAssistantsClient(),
-        instructions="You are a helpful weather agent.",
-        tools=get_weather,
-    ) as agent:
-        query = "What's the weather like in Portland?"
-        print(f"User: {query}")
-        print("Agent: ", end="", flush=True)
-        async for chunk in agent.run_stream(query):
-            if chunk.text:
-                print(chunk.text, end="", flush=True)
-        print("\n")
-
-
-async def main() -> None:
-    print("=== Basic OpenAI Assistants Chat Client Agent Example ===")
-
-    await non_streaming_example()
-    await streaming_example()
-
-
-if __name__ == "__main__":
-    asyncio.run(main())

python/samples/getting_started/agents/openai_assistants_client/openai_assistants_with_code_interpreter.py

@@ -1,58 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-import asyncio
-
-from agent_framework import AgentRunResponseUpdate, ChatClientAgent, HostedCodeInterpreterTool
-from agent_framework.openai import OpenAIAssistantsClient
-from openai.types.beta.threads.runs import (
-    CodeInterpreterToolCallDelta,
-    RunStepDelta,
-    RunStepDeltaEvent,
-    ToolCallDeltaObject,
-)
-from openai.types.beta.threads.runs.code_interpreter_tool_call_delta import CodeInterpreter
-
-
-def get_code_interpreter_chunk(chunk: AgentRunResponseUpdate) -> str | None:
-    """Helper method to access code interpreter data."""
-    if (
-        isinstance(chunk.raw_representation, RunStepDeltaEvent)
-        and isinstance(chunk.raw_representation.delta, RunStepDelta)
-        and isinstance(chunk.raw_representation.delta.step_details, ToolCallDeltaObject)
-        and chunk.raw_representation.delta.step_details.tool_calls
-    ):
-        for tool_call in chunk.raw_representation.delta.step_details.tool_calls:
-            if (
-                isinstance(tool_call, CodeInterpreterToolCallDelta)
-                and isinstance(tool_call.code_interpreter, CodeInterpreter)
-                and tool_call.code_interpreter.input is not None
-            ):
-                return tool_call.code_interpreter.input
-    return None
-
-
-async def main() -> None:
-    """Example showing how to use the HostedCodeInterpreterTool with OpenAI Assistants."""
-    print("=== OpenAI Assistants Agent with Code Interpreter Example ===")
-
-    async with ChatClientAgent(
-        chat_client=OpenAIAssistantsClient(),
-        instructions="You are a helpful assistant that can write and execute Python code to solve problems.",
-        tools=HostedCodeInterpreterTool(),
-    ) as agent:
-        query = "What is current datetime?"
-        print(f"User: {query}")
-        print("Agent: ", end="", flush=True)
-        generated_code = ""
-        async for chunk in agent.run_stream(query):
-            if chunk.text:
-                print(chunk.text, end="", flush=True)
-            code_interpreter_chunk = get_code_interpreter_chunk(chunk)
-            if code_interpreter_chunk is not None:
-                generated_code += code_interpreter_chunk
-
-        print(f"\nGenerated code:\n{generated_code}")
-
-
-if __name__ == "__main__":
-    asyncio.run(main())